There are a growing number of voices expressing disillusionment with fine-tuning. 

I'm curious about the sentiment more generally. (I am withholdi

Is Fine-Tuning Still Valuable?

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2024-03-29 18:00:09

There are a growing number of voices expressing disillusionment with fine-tuning. I'm curious about the sentiment more generally. (I am withholding sharing my opinion rn). Tweets below are from @mlpowered @abacaj @emollick pic.twitter.com/cU0hCdubBU

I think that fine-tuning is still very valuable in many situations. I’ve done some more digging and I find that people who say that fine-tuning isn’t useful are indeed often working on products where fine-tuning isn’t likely to be useful:

Another common pattern is that people often say this in earlier stages of their product development. One sign that folks are in really early stages is that they don’t have a domain-specific eval harness.

It’s impossible to fine-tune effectively without an eval system which can lead to writing off fine-tuning if you haven’t completed this prerequisite. It’s also impossible to improve your product without a good eval system in the long term, fine-tuning or not.

You should do as much prompt engineering as possible before you fine-tune. But not for reasons you would think! The reason for doing lots of prompt engineering is that it’s a great way to stress test your eval system!

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